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TesTex NDT India Interview Questions and Answers

Updated 12 Nov 2024

Q1. What is confusion matrix, roc, auc

Ans.

Confusion matrix is a table used to describe the performance of a classification model. ROC curve is a graphical representation of the true positive rate against the false positive rate. AUC is the area under the ROC curve.

  • Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

  • ROC curve is a plot of the true positive rate (sensitivity) against the false positive rate (1-specificity) at v...read more

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Q2. How many data science projects,

Ans.

I have led and been involved in over 10 data science projects in various industries.

  • Led and managed over 10 data science projects from inception to completion

  • Collaborated with cross-functional teams to deliver impactful solutions

  • Utilized advanced analytics and machine learning techniques to drive business insights

  • Examples: Predictive maintenance for manufacturing, customer segmentation for retail

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Q3. Conflict resolution in day to day tasks

Ans.

Conflict resolution in day to day tasks

  • Active listening and effective communication are key in resolving conflicts

  • Identify the root cause of the conflict and address it directly

  • Collaborate with all parties involved to find a mutually beneficial solution

  • Maintain professionalism and remain calm during conflict resolution

  • Document the conflict resolution process for future reference

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Q4. Strength of evidence in clinical trials

Ans.

The strength of evidence in clinical trials is determined by various factors.

  • The strength of evidence in clinical trials depends on the study design and methodology.

  • Randomized controlled trials (RCTs) are considered to provide the strongest evidence.

  • Large sample sizes and long follow-up periods enhance the strength of evidence.

  • Blinding and placebo control help minimize bias and increase the reliability of results.

  • Meta-analyses and systematic reviews of multiple trials can pro...read more

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Q5. Clinical trials types and details

Ans.

Clinical trials are research studies that test the safety and effectiveness of new medical treatments or interventions.

  • Clinical trials are conducted to gather data on the safety and efficacy of new drugs, medical devices, or treatment methods.

  • There are several types of clinical trials, including phase 1, phase 2, phase 3, and phase 4 trials.

  • Phase 1 trials involve a small number of healthy volunteers and focus on determining the safety and dosage of a new treatment.

  • Phase 2 tri...read more

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Q6. Real world evidence

Ans.

Real world evidence refers to data collected outside of clinical trials to evaluate the safety and effectiveness of medical interventions.

  • Real world evidence is collected from sources such as electronic health records, claims databases, and patient registries.

  • It provides insights into how treatments work in real-world settings and can help inform clinical decision-making.

  • Examples of real world evidence include studies that analyze the effectiveness of a drug in a large popula...read more

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Q7. clustering techniques

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Q8. ml algos description

Ans.

Machine learning algorithms are mathematical models used to analyze data and make predictions.

  • ML algorithms learn from data to make predictions or decisions

  • They can be supervised, unsupervised, or semi-supervised

  • Examples include linear regression, decision trees, support vector machines

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